Onmo Signal Is Free Right Now. The Window Closes In About 60 Days.

If you run paid UA for a mobile game, you have probably stared at a price sheet from an audience data vendor and decided to keep buying broad interest segments instead. That decision is rational. Most behavioral audience data sits behind one of three walls: a six-figure annual contract, a minimum monthly ad spend with a single network, or a custom-build queue that takes two weeks to deliver a segment you cannot test against alternatives.

Onmo Signal does not have those walls right now. You can sign up at signal.onmoai.com, browse 273 pre-built behavioral segments, and upload them to Meta, TikTok, Snapchat, or Google in one click — for nothing. No minimum spend. No platform lock-in. No custom-build queue.

That is going to change. We are giving free access a runway of about 60 days from today.

This post explains what is in the catalog, why we are giving it away, what changes when the paywall comes back on, and how to use the next two months if you want to lock in a baseline before pricing kicks in.

What free access actually includes

The Signal catalog you can browse for free today:

• 300M+ device IDs scored against actual app behavior across 170,000+ apps and 4B+ behavioral events
• 273 pre-built segments sliced by app category, geography, and quality tier
• 22 countries of behavioral coverage, including 48M Saudi devices and 58M+ across the GCC
• One-click upload to Meta Custom Audiences, TikTok Custom Audiences, Snapchat Audiences, and Google Customer Match
• No upload limits during the free window — build as many segments as you need to test

Some specific segments to anchor on if you run gaming UA in the US: 122M puzzle players, 98M casual players, 37M social casino players, 25M card players, 18M board players. These are not interest-category proxies. They are device IDs ranked by recorded in-app behavior — sessions, app diversity, recency, and recorded spend tier.

Why behavioral audience data is normally gated

When you price audience data against the rest of the UA stack, the gating makes sense from the vendor side. The data is expensive to build and maintain. So most platforms recover that cost up-front:

• Spend-tier minimums: networks with audience data attached (AppLovin, Liftoff, IronSource) typically expose their best targeting only above a monthly spend threshold. Below it you get the audience network but not the audience controls.
• Annual contracts: enterprise audience data platforms quote on annual licenses. For a studio running $30K/month UA, the license alone can be 3–4 months of UA budget.
• Custom-build queues: platforms that take a custom segment brief deliver in 1–2 weeks. By the time you receive the segment, your test cycle has moved on.

The end result is that most studios under $100K/month of UA spend never actually test behavioral audience data against their existing setup. They run with what their ad platform's ML decides is "interested in casual games" and never see a benchmark.

Why we are giving it away for now

Signal is past the build phase. The data is live, the pipelines are stable, the upload integrations work. The thing we are still calibrating is which segments matter most to which ICP.

Free access for a fixed window solves that for us:

• Real test volume on real ad accounts beats internal QA every time. We learn which segments are getting uploaded, which match rates land where we expect, and which combinations are getting reused.
• Studios get to validate without budget approval, vendor onboarding, or a procurement conversation. Sign-up is self-serve.
• We compress the feedback loop between catalog assumptions and what UA teams actually pull off the shelf.

Once the paywall is back, the catalog stays — but the cost-of-curiosity goes back up. Free is the version we are willing to run for the next ~60 days, not for the next year.

What the next 60 days are good for

If you run UA on a mobile gaming title, the window is long enough to do four things that pay off later regardless of what we charge after:

1. Benchmark a behavioral segment against your current best lookalike. Pick the segment closest to your ICP — say, the high in-app spender tier in puzzle for a US-targeted puzzle game — and run it as a side-by-side ad set against your current best Meta lookalike. Same creative, same bid strategy, same daily budget. Watch CPI, D1 retention, and D7 ROAS for two weeks.
2. Test cross-genre seed lift. If you are a casual publisher, upload a top-spender puzzle segment as a Meta lookalike seed and see whether the resulting 1% lookalike outperforms your existing seed. The cross-genre intersection is where most UA managers under-explore.
3. Validate Saudi or GCC depth before you commit budget. If you are evaluating a Gulf launch, the Saudi segment is the cheapest way to find out whether your title resonates with Gulf gamers. 48M scored device IDs is enough to seed a meaningful test campaign on Meta or TikTok.
4. Identify match rates that beat your current upload baseline. Custom audiences from MMP exports typically land between 35% and 60% match rate on Meta. Behavioral device IDs scored on recent activity match higher. Test once and you have a number to argue with internally about audience quality going forward.

You do not need to commit to anything to do any of this. The integrations are one-click. The audiences appear as Custom Audiences inside your existing ad accounts. Nothing routes through Signal at delivery time.

What changes when free ends

We have not finalized the post-launch pricing yet, and we are not going to pre-announce a number. What we can say:

• The catalog is staying. Same 273 segments, same data depth, same one-click upload.
• Paywall is expected within ~60 days. Treat this post's timing as the start of the window.
• Existing free users will get notice before pricing changes. Nobody is going to wake up to a locked dashboard.

If you want to test behavioral audience data against your current UA setup without going through procurement first, the window is now. Sign up at signal.onmoai.com and pull the segments that map to your title. Two weeks of testing inside the free window is worth more than two weeks of evaluating vendors after pricing returns.